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, machine learning, artificial intelligence, etc. is a plus. Other preferred qualifications include: expertise in working with metal and composites 3D printers, large-scale/construction-scale commercial
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| 18 Month Fixed Term (with the potential for renewal) The Australian Institute for Machine Learning, located at the University of Adelaide, is at the forefront of artificial intelligence, machine
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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Engineering Demonstrated knowledge and experience of the Quantitative and Qualitative Research Methods, Software Design Methods for Secure AI-Enabled Software, Applied Machine Learning, Natural
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development opportunities to its staff, including its own Women’s Professional Development Network to support women to navigate their career. To learn more about The School of Computer and Mathematical Sciences
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helpful here – or a Master's degree from the field of machine learning, neural information processing, or electrophysiological signal processing – here very good programming skills and experience with EEG
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for Secure AI-Enabled Software, Applied Machine Learning, Natural Language Processing (NLP), DevSecOps, Secure of MLOps. Your knowledge of the indicated areas can be from technical or socio-technical
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learn more about our exciting research in Pure Mathematics visit https://set.adelaide.edu.au/computer-and-mathematical-sciences/research/pure-mathematics To be successful at Level B you will need: PhD in
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Computer Security and Machine Learning as well as Computer Science department ranked 48th in the world and The University of Adelaide ranked in the top 1% of Universities worldwide. Notably, Adelaide is
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, Computer Vision, Machine Learning or related field, with strong experience in image processing or computer vision, particularly for multi-modal and high-dimensional data. Experience in programming languages